Thomas Guyet
Impact in
- Signal Processing top 5%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
- Advanced Malware Detection Techniques
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
Papers in
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- Time Series Analysis and Forecasting 18
- Data Management and Algorithms 7
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- Anomaly Detection Techniques and Applications 4
- Data Stream Mining Techniques 4
- Co-authors
- René Quiniou (13 shared papers)Simon Malinowski (9 shared papers)Romain Tavenard (6 shared papers)Florent Masséglia (3 shared papers)Marie-Odile Cordier (3 shared papers)Xiangliang Zhang (1 shared paper)Wei Wang (1 shared paper)Michel Dojat (3 shared papers)
- Journals
- Lecture notes in computer science (20 papers)Knowledge-Based Systems (1 paper)Pattern Recognition Letters (1 paper)Data & Knowledge Engineering (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- FranceSwitzerlandIreland
In The Last Decade
Thomas Guyet
43 papers receiving 438 citations
Peers
Comparison fields: 5 of 84
- Signal Processing 192
- Artificial Intelligence 184
- Information Systems 107
- Computer Networks and Communications 107
- Computational Mathematics 2
Countries citing papers authored by Thomas Guyet
This map shows the geographic impact of Thomas Guyet's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Guyet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Guyet more than expected).
Fields of papers citing papers by Thomas Guyet
This network shows the impact of papers produced by Thomas Guyet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Guyet. The network helps show where Thomas Guyet may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Guyet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 91 | |
| 2 | 2013 | 51 | |
| 3 | 2007 | 34 | |
| 4 | 2021 | 31 | |
| 5 | 2015 | 29 | |
| 6 | 2008 | 29 | |
| 7 | 2022 | 27 | |
| 8 | Extracting temporal patterns from interval-based sequences | 2011 | 21 |
| 9 | 2013 | 21 | |
| 10 | 2016 | 20 | |
| 11 | 2018 | 17 | |
| 12 | 2017 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2017 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2009 | 5 | |
| 19 | 2023 | 3 | |
| 20 | 2017 | 3 |
About Thomas Guyet
Thomas Guyet is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Networks and Communications and Computational Theory and Mathematics, having authored 49 papers that have together received 457 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (18 papers), Data Mining Algorithms and Applications (11 papers), Rough Sets and Fuzzy Logic (8 papers), Data Management and Algorithms (7 papers), Network Security and Intrusion Detection (5 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Database Systems and Queries (4 papers) and Data Stream Mining Techniques (4 papers). The work is most often cited by research in Signal Processing (192 citations), Artificial Intelligence (184 citations), Information Systems (107 citations), Computer Networks and Communications (107 citations) and Computational Mathematics (2 citations). Thomas Guyet has collaborated with scholars based in France, Switzerland and Ireland. Frequent co-authors include René Quiniou, Simon Malinowski, Romain Tavenard, Florent Masséglia, Marie-Odile Cordier, Xiangliang Zhang, Wei Wang, Michel Dojat, Catherine Garbay and André Happe. Their work appears in journals such as Lecture notes in computer science, Knowledge-Based Systems, Pattern Recognition Letters, Data & Knowledge Engineering and Journal of Biomedical Informatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.